Tambo is an orchestration platform and framework designed for building generative user interfaces and conversational AI agents. It provides the infrastructure to manage persistent chat threads, execute multi-step reasoning workflows, and integrate large language models with external tools and services. By combining an agent orchestration layer with a component-based library, the project enables developers to create interactive interfaces where AI models dynamically render and update UI elements in real-time.
The framework distinguishes itself through its generative UI capabilities, which allow models to map natural language intents to specific interface components via a schema-based registry. It supports streaming updates for both text and interactive components, ensuring that the user interface remains synchronized with the model's output. The system includes middleware for context injection and state management, allowing for the persistence of conversation history and component lifecycles across sessions.
Beyond its core rendering and orchestration features, the platform provides a comprehensive toolkit for AI-driven development. This includes utilities for scaffolding projects, configuring model parameters, and managing service authentication. It also offers built-in support for monitoring conversation threads, logging tool executions, and handling secure data isolation. The project is distributed as a TypeScript-based SDK that includes a library of React components for building and maintaining stateful chat interfaces.
